Productivity of gig workers on crowdsourcing platforms through artificial intelligence and gamification: a multi-theoretical approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhishek Behl ◽  
Brinda Sampat ◽  
Sahil Raj

PurposeGig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of information quality (IQ) and social-mediated dialogue (SMD) in evaluating gig worker engagement and productivity on crowdsourcing platforms. The authors also propose to understand how gig worker productivity could be improved under the moderating effect of game elements.Design/methodology/approachA conceptual model was developed and empirically tested by integrating media richness theory and dialogic public relation theory. Data were collected from gig workers that are involved in crowdsourcing activities for the past three years. An overall sample of 346 gig workers contributing to at least one of the crowdsourcing platforms was collected. The authors tested the hypotheses using Warp PLS 7.0. Warp PLS 7.0 uses partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.FindingsResults reveal that the information quality plays an essential role in the SMD, thereby fostering gig workers' productivity and engagement, which could be improved in the presence of game elements due to their nature of supporting rewards. However, engagement in the platform leading to improved productivity was not supported.Practical implicationsThe study lays practical foundations for crowdsourcing platforms as it sets the importance of both IQ and dialogic communication channels. The two-way communication between gig workers and the platforms via accurate, timely, valuable and reliable information forms the key to the task's success. The introduction of the right game element will help to achieve better engagement and productivity.Originality/valueThis study also offers a new dimension to media richness theory and dialogic public relation theory in crowdsourcing platforms. The results would help platform designers and gig employers understand gig workers' quality and performance in a platform economy. The study uniquely positions itself in the area of crowdsourcing platforms by using game elements.

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0

Crowdsourcing platforms have gained importance in recent times, and their success is dependent mainly on the participation of the crowd. Participation is a function of both intrinsic and extrinsic motivation. Moreover, with the growing scale of information, the participants would need to focus on the quality of information to achieve sustainable participation. Our study uses game elements and information quality grounded in Motivational Affordance Perspective (MAP) to study the intrinsic and extrinsic participation on a crowdsourcing platform. We collected responses from 337 participants who are actively contributing to any crowdsourcing platform. Warp PLS uses partial least square structured equation modeling. The results confirm that the use of game elements positively promotes the participant’s intrinsic and extrinsic participation. We also confirmed that motivation is also positively moderated by the quality of information that the crowdsourcing platform shares with the participants. The results help in extending the theoretical arguments of MAP and self-determination theory.


2021 ◽  
Vol 29 (6) ◽  
pp. 0-0

Crowdsourcing platforms have gained importance in recent times, and their success is dependent mainly on the participation of the crowd. Participation is a function of both intrinsic and extrinsic motivation. Moreover, with the growing scale of information, the participants would need to focus on the quality of information to achieve sustainable participation. Our study uses game elements and information quality grounded in Motivational Affordance Perspective (MAP) to study the intrinsic and extrinsic participation on a crowdsourcing platform. We collected responses from 337 participants who are actively contributing to any crowdsourcing platform. Warp PLS uses partial least square structured equation modeling. The results confirm that the use of game elements positively promotes the participant’s intrinsic and extrinsic participation. We also confirmed that motivation is also positively moderated by the quality of information that the crowdsourcing platform shares with the participants. The results help in extending the theoretical arguments of MAP and self-determination theory.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maruf Gbadebo Salimon ◽  
Olanrewaju Kareem ◽  
Sany Sanuri Mohd Mokhtar ◽  
Olayemi Abdullateef Aliyu ◽  
Jibril Adewale Bamgbade ◽  
...  

Purpose The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs. Design/methodology/approach To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling. Findings The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant. Research limitations/implications This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce. Originality/value The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shih-Jung Juan ◽  
Eldon Y. Li ◽  
Wei-Hsi Hung

PurposeThis study aims to explore the relationships among the five components of supply chain (SC) resilience (SCRES): visibility, velocity, flexibility, robustness and collaboration and their impacts on the SC performance under disruption (SCPUD).Design/methodology/approachFive SCRES components are identified from the literature review and data are collected using an web survey from 113 manufacturing companies in Taiwan. The data are analyzed by structured equation modeling with the partial least square solution. Two-stage least-squares (2SLS) regression was used to test the potential endogeneity of SC collaboration (SCC).FindingsThe results reveal that SCC is an exogenous driver of SCRES; it directly affects visibility, velocity, flexibility, robustness and SCPUD. Furthermore, SC flexibility is the only component of SC agility that directly affects SCPUD; it is influenced directly by SC velocity and indirectly by SC visibility through SC velocity. SC visibility is a vital agility component that positively influences SC velocity and SC robustness.Research limitations/implicationsThe data in this study are cross-sectional and the sample size of 113 is relatively small. The relationship between SC robustness and SCPUD needs a longer observation period to reveal. The logistic issue in the shortage of carriers caused by the pandemic has been overlooked.Practical implicationsA firm should enhance its collaboration and flexibility in the SC as they both are the critical antecedents of SC performance (SCP) during the disruption period.Originality/valueThis study integrates visibility, velocity, flexibility, robustness and collaboration into a complete framework of SCRES. The dependent variable, SCPUD, measures SC performance (SCP) under the disruption caused by the COVID-19 pandemic. It is the first study to investigate the associations of the six constructs in a research model.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Miao Miao ◽  
Tariq Jalees ◽  
Syed Imran Zaman ◽  
Sherbaz Khan ◽  
Noor-ul-Ain Hanif ◽  
...  

PurposeThis research study investigates the factors that influence e-customer satisfaction, e-trust, perceived value and consumers repurchase intention in the context of the B2C e-commerce segment. It investigates the mediation effect of e-customer satisfaction, e-trust and perceived value on repurchase intention. It also examines the moderating role of prior online experience.Design/methodology/approachBased on the adapted questionnaire, pre-recruited enumerators collected the data from five leading business universities of Karachi. They distributed 425 questionnaires and received 415 questionnaires. The study has used Partial Least Square-Structure Equation Modeling (PLS-SEM) technique for data analysis.FindingsWe have tested 20 hypotheses, of which our results do not support five, including two direct, two mediating. Our results support all the direct hypotheses except the following two: (1) delivery service affects e-satisfaction (2) customer services quality effect on trust. We did not find support for the following two mediating hypotheses (1) e-satisfaction mediates delivery services and repurchase intention, (2) service quality mediates customers' service quality and repurchase intention. Our results do not support one moderating relationship. Prior online experience moderates e-perceived value and repurchase intention.Research limitations/implicationsThis research provides valuable information to the online retailers of B2C e-commerce, which can help them make strategies based on their consumers' behavior and encourage them to make repeat purchases from online retailing stores. It allows future researchers to replicate the model in cross-cultural studies in different product categories.Originality/valueWe have examined the moderating effect of prior online experience between (e-satisfaction, e-trust and perceived value) on the repurchase intention.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Farrukh ◽  
Ali Raza ◽  
Abdul Waheed

PurposeBased on the social network theory, this study investigates the impact of political ties on innovation performance. Besides, this study also tests a mediation role of absorptive capacity (AC) and a moderation role of technology turbulence.Design/methodology/approachA hypothetico-deductive approach is adopted to test the hypotheses. Data were collected from the small and medium enterprises (SMEs) managers/owners through a structured questionnaire.FindingsPartial least square structural equation modeling technique is used to analyze the hypothesized relationships; the findings showed that political ties significantly impact the innovation performance, and this relationship is mediated by AC. Moreover, technological turbulence moderated the relationship between political ties and innovation performance.Originality/valueDespite the increasing attention to the role of networking in improving innovation, there is a scarcity of studies on the role of political ties, AC and technology turbulence in fostering organizational innovation; thus, this study is a unique contribution to literature.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gul Afshan ◽  
Muhammad Kashif ◽  
Damrong Sattayawaksakul ◽  
Pimpa Cheewaprakobkit ◽  
Shanika Wijenayake

Purpose Drawing on the social exchange theory, this study aims to investigate the destructive impact of abusive supervision and supervisor undermining on quiescent silence and turnover intentions among frontline employees. Whether quiescent silence and the desire to seek revenge mediate the path from aggressive supervisory behaviors to turnover intentions is explored. Design/methodology/approach Following a time-lagged design, the authors collected data from 350 frontline banking officers in Thailand by a survey. For data analysis purposes, structural equation modeling procedures are used through Smart partial least square version 3.2.0. Findings Uniquely, findings suggest that abusive supervision does not result in any form of retaliation. Supervisor undermining has a trickle-down effect on the desire to revenge, quiescent silence and turnover intentions. For supervisor undermining, the direct path, as well as mediating roles are supported by data. Practical implications The findings of this study suggests organizational systems should discourage supervisors from undermining the subordinates. There is a need to offer regular training to supervisors. Furthermore, employees should be provided some platforms and the freedom to positively speak at work. Above all, supervisors should be more inspiring which can dilute negative perceptions of abuse. Originality/value The proposed mediation of desire to revenge and quiescent silence is unique to this study. Moreover, the challenge to the traditional trickle-down effects of abusive supervision is a unique intervention in the organizational behavior literature.


2021 ◽  
Vol 17 (3) ◽  
pp. 1-20
Author(s):  
Nitika Sharma ◽  
Pooja Goel ◽  
Anuj Sharma

The purpose of this paper is to examine the antecedents of e-banking loyalty and evangelism via threefold construct of WEQUAL (usability, information quality, and service interaction) of public sector banks operating in India. Moreover, it also investigates the mediating role of consumers' trust on the website quality of these banks and their impact on e-banking loyalty and evangelism. The data was collected from 243 respondents through online questionnaire. In order to develop the model and test the hypotheses, partial least square structural equation modeling (PLS-SEM) was done through Smart PLS version 3.2.9. Results assert that website quality of banks positively influences the trust of consumers via usability, information quality, and service interaction. Also, consumer trust plays a mediation role between WEBQUAL constructs and e-banking loyalty and evangelism.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hilary Omatule Onubi ◽  
Nor'Aini Yusof ◽  
Ahmad Sanusi Hassan ◽  
Ali Ahmed Salem Bahdad

PurposeThe coronavirus disease 2019 (COVID-19) pandemic has had major impacts on the performance of construction projects that have adopted social distancing measures. This study examines the effect of social distancing measures on project schedule performance through job reorganization on construction project sites.Design/methodology/approachResponses were obtained through a survey of 154 construction projects and analysed using the partial least square structural equation modeling (PLS-SEM) technique.FindingsThe findings established that social distancing has a negative effect on schedule performance, social distancing has a positive effect on job re-organization and job re-organization has a positive effect on schedule performance. Additionally, the results indicate that job re-organization partially mediates the relationship between social distancing and schedule performance, while social distancing moderates the relationship between job re-organization and schedule performance with low social distancing having the stronger positive effect.Originality/valueThis study contributes theoretically to a greater understanding of the impact of adopting COVID-19 safety measures such as social distancing on the schedule performance of construction projects. The study also shows how social distancing could lead to schedule performance through job reorganization.


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